An open-source, automated, and cost-effective platform for COVID-19 diagnosis and rapid portable genomic surveillance using nanopore sequencing
The COVID-19 pandemic, caused by SARS-CoV-2, has emphasized the necessity for scalable diagnostic workflows using locally produced reagents and basic laboratory equipment with minimal dependence on global supply chains. We introduce an open-source automated platform for high-throughput RNA extractio...
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Published in | Scientific reports Vol. 13; no. 1; pp. 20349 - 12 |
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Main Authors | , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
London
Nature Publishing Group UK
21.11.2023
Nature Publishing Group Nature Portfolio |
Subjects | |
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Abstract | The COVID-19 pandemic, caused by SARS-CoV-2, has emphasized the necessity for scalable diagnostic workflows using locally produced reagents and basic laboratory equipment with minimal dependence on global supply chains. We introduce an open-source automated platform for high-throughput RNA extraction and pathogen diagnosis, which uses reagents almost entirely produced in-house. This platform integrates our methods for self-manufacturing magnetic nanoparticles and qRT-PCR reagents-both of which have received regulatory approval for clinical use–with an in-house, open-source robotic extraction protocol. It also incorporates our "Nanopore Sequencing of Isothermal Rapid Viral Amplification for Near Real-time Analysis" (NIRVANA) technology, designed for tracking SARS-CoV-2 mutations and variants. The platform exhibits high reproducibility and consistency without cross-contamination, and its limit of detection, sensitivity, and specificity are comparable to commercial assays. Automated NIRVANA effectively identifies circulating SARS-CoV-2 variants. Our in-house, cost-effective reagents, automated diagnostic workflows, and portable genomic surveillance strategies provide a scalable and rapid solution for COVID-19 diagnosis and variant tracking, essential for current and future pandemic responses. |
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AbstractList | The COVID-19 pandemic, caused by SARS-CoV-2, has emphasized the necessity for scalable diagnostic workflows using locally produced reagents and basic laboratory equipment with minimal dependence on global supply chains. We introduce an open-source automated platform for high-throughput RNA extraction and pathogen diagnosis, which uses reagents almost entirely produced in-house. This platform integrates our methods for self-manufacturing magnetic nanoparticles and qRT-PCR reagents-both of which have received regulatory approval for clinical use-with an in-house, open-source robotic extraction protocol. It also incorporates our "Nanopore Sequencing of Isothermal Rapid Viral Amplification for Near Real-time Analysis" (NIRVANA) technology, designed for tracking SARS-CoV-2 mutations and variants. The platform exhibits high reproducibility and consistency without cross-contamination, and its limit of detection, sensitivity, and specificity are comparable to commercial assays. Automated NIRVANA effectively identifies circulating SARS-CoV-2 variants. Our in-house, cost-effective reagents, automated diagnostic workflows, and portable genomic surveillance strategies provide a scalable and rapid solution for COVID-19 diagnosis and variant tracking, essential for current and future pandemic responses. Abstract The COVID-19 pandemic, caused by SARS-CoV-2, has emphasized the necessity for scalable diagnostic workflows using locally produced reagents and basic laboratory equipment with minimal dependence on global supply chains. We introduce an open-source automated platform for high-throughput RNA extraction and pathogen diagnosis, which uses reagents almost entirely produced in-house. This platform integrates our methods for self-manufacturing magnetic nanoparticles and qRT-PCR reagents-both of which have received regulatory approval for clinical use–with an in-house, open-source robotic extraction protocol. It also incorporates our "Nanopore Sequencing of Isothermal Rapid Viral Amplification for Near Real-time Analysis" (NIRVANA) technology, designed for tracking SARS-CoV-2 mutations and variants. The platform exhibits high reproducibility and consistency without cross-contamination, and its limit of detection, sensitivity, and specificity are comparable to commercial assays. Automated NIRVANA effectively identifies circulating SARS-CoV-2 variants. Our in-house, cost-effective reagents, automated diagnostic workflows, and portable genomic surveillance strategies provide a scalable and rapid solution for COVID-19 diagnosis and variant tracking, essential for current and future pandemic responses. The COVID-19 pandemic, caused by SARS-CoV-2, has emphasized the necessity for scalable diagnostic workflows using locally produced reagents and basic laboratory equipment with minimal dependence on global supply chains. We introduce an open-source automated platform for high-throughput RNA extraction and pathogen diagnosis, which uses reagents almost entirely produced in-house. This platform integrates our methods for self-manufacturing magnetic nanoparticles and qRT-PCR reagents-both of which have received regulatory approval for clinical use-with an in-house, open-source robotic extraction protocol. It also incorporates our "Nanopore Sequencing of Isothermal Rapid Viral Amplification for Near Real-time Analysis" (NIRVANA) technology, designed for tracking SARS-CoV-2 mutations and variants. The platform exhibits high reproducibility and consistency without cross-contamination, and its limit of detection, sensitivity, and specificity are comparable to commercial assays. Automated NIRVANA effectively identifies circulating SARS-CoV-2 variants. Our in-house, cost-effective reagents, automated diagnostic workflows, and portable genomic surveillance strategies provide a scalable and rapid solution for COVID-19 diagnosis and variant tracking, essential for current and future pandemic responses.The COVID-19 pandemic, caused by SARS-CoV-2, has emphasized the necessity for scalable diagnostic workflows using locally produced reagents and basic laboratory equipment with minimal dependence on global supply chains. We introduce an open-source automated platform for high-throughput RNA extraction and pathogen diagnosis, which uses reagents almost entirely produced in-house. This platform integrates our methods for self-manufacturing magnetic nanoparticles and qRT-PCR reagents-both of which have received regulatory approval for clinical use-with an in-house, open-source robotic extraction protocol. It also incorporates our "Nanopore Sequencing of Isothermal Rapid Viral Amplification for Near Real-time Analysis" (NIRVANA) technology, designed for tracking SARS-CoV-2 mutations and variants. The platform exhibits high reproducibility and consistency without cross-contamination, and its limit of detection, sensitivity, and specificity are comparable to commercial assays. Automated NIRVANA effectively identifies circulating SARS-CoV-2 variants. Our in-house, cost-effective reagents, automated diagnostic workflows, and portable genomic surveillance strategies provide a scalable and rapid solution for COVID-19 diagnosis and variant tracking, essential for current and future pandemic responses. |
ArticleNumber | 20349 |
Author | Takahashi, Etsuko Takahashi, Masateru Pain, Arnab Guzmán-Vega, Francisco J. Zhang, Yingzi Gorchakov, Rodion V. Ahmad, Adeel Nazir Hamdan, Samir M. Shuaib, Muhammad Dada, Ashraf Xu, Jinna Ramos-Mandujano, Gerardo Bi, Chongwei Tehseen, Muhammad Arold, Stefan T. Grünberg, Raik Li, Mo |
Author_xml | – sequence: 1 givenname: Gerardo surname: Ramos-Mandujano fullname: Ramos-Mandujano, Gerardo organization: Stem Cell and Regeneration Laboratory, Bioscience Program, Biological and Environmental Science and Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST) – sequence: 2 givenname: Raik surname: Grünberg fullname: Grünberg, Raik organization: Structural Biology and Engineering, Computational Biology Research Center. Biological and Environmental Science and Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST) – sequence: 3 givenname: Yingzi surname: Zhang fullname: Zhang, Yingzi organization: Stem Cell and Regeneration Laboratory, Bioscience Program, Biological and Environmental Science and Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST) – sequence: 4 givenname: Chongwei surname: Bi fullname: Bi, Chongwei organization: Stem Cell and Regeneration Laboratory, Bioscience Program, Biological and Environmental Science and Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST) – sequence: 5 givenname: Francisco J. surname: Guzmán-Vega fullname: Guzmán-Vega, Francisco J. organization: Structural Biology and Engineering, Computational Biology Research Center. Biological and Environmental Science and Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST) – sequence: 6 givenname: Muhammad surname: Shuaib fullname: Shuaib, Muhammad organization: Pathogen Genomics Laboratory, Bioscience Program, Biological and Environmental Science and Engineering (BESE), King Abdullah University of Science and Technology (KAUST) – sequence: 7 givenname: Rodion V. surname: Gorchakov fullname: Gorchakov, Rodion V. organization: Health, Safety and Environment Department, King Abdullah University of Science and Technology (KAUST) – sequence: 8 givenname: Jinna surname: Xu fullname: Xu, Jinna organization: Stem Cell and Regeneration Laboratory, Bioscience Program, Biological and Environmental Science and Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST) – sequence: 9 givenname: Muhammad surname: Tehseen fullname: Tehseen, Muhammad organization: Laboratory of DNA Replication and Recombination, Bioscience Program, Biological and Environmental Science and Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST) – sequence: 10 givenname: Masateru surname: Takahashi fullname: Takahashi, Masateru organization: Laboratory of DNA Replication and Recombination, Bioscience Program, Biological and Environmental Science and Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST) – sequence: 11 givenname: Etsuko surname: Takahashi fullname: Takahashi, Etsuko organization: Laboratory of DNA Replication and Recombination, Bioscience Program, Biological and Environmental Science and Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST) – sequence: 12 givenname: Ashraf surname: Dada fullname: Dada, Ashraf organization: Department of Pathology and Laboratory Medicine, King Faisal Specialist Hospital and Research Center, College of Medicine, Al Faisal University – sequence: 13 givenname: Adeel Nazir surname: Ahmad fullname: Ahmad, Adeel Nazir organization: KAUST Health, King Abdullah University of Science and Technology (KAUST) – sequence: 14 givenname: Samir M. surname: Hamdan fullname: Hamdan, Samir M. organization: Laboratory of DNA Replication and Recombination, Bioscience Program, Biological and Environmental Science and Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST) – sequence: 15 givenname: Arnab surname: Pain fullname: Pain, Arnab organization: Pathogen Genomics Laboratory, Bioscience Program, Biological and Environmental Science and Engineering (BESE), King Abdullah University of Science and Technology (KAUST) – sequence: 16 givenname: Stefan T. surname: Arold fullname: Arold, Stefan T. email: stefan.arold@kaust.edu.sa organization: Structural Biology and Engineering, Computational Biology Research Center. Biological and Environmental Science and Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST) – sequence: 17 givenname: Mo surname: Li fullname: Li, Mo email: Mo.li@kaust.edu.sa organization: Stem Cell and Regeneration Laboratory, Bioscience Program, Biological and Environmental Science and Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Bioengineering Program, Biological and Environmental Science and Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST) |
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Title | An open-source, automated, and cost-effective platform for COVID-19 diagnosis and rapid portable genomic surveillance using nanopore sequencing |
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